"""
交易执行流程

定义交易订单生成、执行和监控的工作流程。
"""

from typing import Dict, List, Any, Optional
from datetime import datetime, timedelta

from .workflow_types import (
    WorkflowDefinition,
    WorkflowNode,
    WorkflowEdge,
    WorkflowType,
    NodeType,
    EdgeType
)


class TradingExecutionFlow:
    """
    交易执行流程构建器
    
    负责构建交易执行相关的工作流定义。
    """
    
    @staticmethod
    def create_order_execution_flow() -> WorkflowDefinition:
        """
        创建订单执行流程
        
        Returns:
            订单执行工作流定义
        """
        workflow = WorkflowDefinition(
            workflow_id="order_execution",
            name="订单执行流程",
            workflow_type=WorkflowType.TRADING_EXECUTION,
            description="完整的交易订单执行和监控流程",
            timeout=timedelta(hours=1)
        )
        
        # 开始节点
        start_node = WorkflowNode(
            node_id="start",
            name="开始",
            node_type=NodeType.START,
            description="订单执行流程开始"
        )
        workflow.add_node(start_node)
        workflow.start_node_id = "start"
        
        # 订单验证
        order_validation = WorkflowNode(
            node_id="order_validation",
            name="订单验证",
            node_type=NodeType.TASK,
            description="验证交易订单的合法性和可行性",
            executor="order_validator",
            timeout=timedelta(minutes=5),
            retry_count=2,
            parameters={
                "validation_checks": [
                    "symbol_validity",
                    "quantity_limits",
                    "price_reasonableness",
                    "account_balance",
                    "position_limits",
                    "regulatory_compliance"
                ],
                "price_deviation_threshold": 0.05,
                "max_order_size": "from_config"
            }
        )
        workflow.add_node(order_validation)
        
        # 风险检查
        risk_check = WorkflowNode(
            node_id="risk_check",
            name="风险检查",
            node_type=NodeType.TASK,
            description="执行交易前风险检查",
            executor="risk_checker",
            timeout=timedelta(minutes=3),
            parameters={
                "risk_checks": [
                    "var_limit_check",
                    "concentration_check",
                    "correlation_check",
                    "liquidity_check",
                    "margin_requirement_check"
                ],
                "risk_limits": "from_config",
                "real_time_calculation": True
            }
        )
        workflow.add_node(risk_check)
        
        # 风险决策
        risk_decision = WorkflowNode(
            node_id="risk_decision",
            name="风险决策",
            node_type=NodeType.DECISION,
            description="根据风险检查结果决定是否继续执行",
            conditions=[
                {
                    "name": "risk_acceptable",
                    "expression": "all(check['status'] == 'pass' for check in risk_check_result['checks'])"
                },
                {
                    "name": "risk_warning",
                    "expression": "any(check['status'] == 'warning' for check in risk_check_result['checks'])"
                },
                {
                    "name": "risk_rejected",
                    "expression": "any(check['status'] == 'fail' for check in risk_check_result['checks'])"
                }
            ]
        )
        workflow.add_node(risk_decision)
        
        # 订单路由
        order_routing = WorkflowNode(
            node_id="order_routing",
            name="订单路由",
            node_type=NodeType.TASK,
            description="选择最优的交易执行路径",
            executor="order_router",
            parameters={
                "routing_algorithms": [
                    "smart_order_routing",
                    "volume_weighted_routing",
                    "time_weighted_routing",
                    "cost_minimization"
                ],
                "venue_selection": {
                    "primary_exchanges": ["SSE", "SZSE"],
                    "dark_pools": ["enabled"],
                    "crossing_networks": ["enabled"]
                },
                "execution_strategies": [
                    "market_order",
                    "limit_order", 
                    "iceberg_order",
                    "twap",
                    "vwap"
                ]
            }
        )
        workflow.add_node(order_routing)
        
        # 执行策略选择
        strategy_selection = WorkflowNode(
            node_id="strategy_selection",
            name="执行策略选择",
            node_type=NodeType.DECISION,
            description="根据市场条件选择执行策略",
            conditions=[
                {
                    "name": "immediate_execution",
                    "expression": "order_urgency == 'high' or market_volatility < 0.02"
                },
                {
                    "name": "algorithmic_execution",
                    "expression": "order_size > large_order_threshold and market_liquidity > 0.5"
                },
                {
                    "name": "manual_execution",
                    "expression": "order_complexity == 'high' or market_conditions == 'unusual'"
                }
            ]
        )
        workflow.add_node(strategy_selection)
        
        # 立即执行
        immediate_execution = WorkflowNode(
            node_id="immediate_execution",
            name="立即执行",
            node_type=NodeType.TASK,
            description="立即执行交易订单",
            executor="immediate_executor",
            timeout=timedelta(minutes=10),
            parameters={
                "execution_type": "market_order",
                "slippage_tolerance": 0.001,
                "partial_fill_handling": "continue"
            }
        )
        workflow.add_node(immediate_execution)
        
        # 算法执行
        algorithmic_execution = WorkflowNode(
            node_id="algorithmic_execution",
            name="算法执行",
            node_type=NodeType.TASK,
            description="使用算法策略执行大额订单",
            executor="algorithmic_executor",
            timeout=timedelta(hours=4),
            parameters={
                "algorithms": {
                    "twap": {
                        "time_horizon": "4_hours",
                        "slice_size": "adaptive"
                    },
                    "vwap": {
                        "participation_rate": 0.2,
                        "volume_curve": "historical"
                    },
                    "implementation_shortfall": {
                        "risk_aversion": 0.5,
                        "market_impact_model": "linear"
                    }
                }
            }
        )
        workflow.add_node(algorithmic_execution)
        
        # 人工执行
        manual_execution = WorkflowNode(
            node_id="manual_execution",
            name="人工执行",
            node_type=NodeType.TASK,
            description="交易员人工执行订单",
            executor="manual_executor",
            timeout=timedelta(hours=1),
            parameters={
                "trader_assignment": "auto_assign",
                "execution_guidelines": "from_config",
                "communication_channels": ["phone", "chat", "system"]
            }
        )
        workflow.add_node(manual_execution)
        
        # 执行监控
        execution_monitoring = WorkflowNode(
            node_id="execution_monitoring",
            name="执行监控",
            node_type=NodeType.LOOP,
            description="实时监控订单执行状态",
            loop_condition="order_status in ['pending', 'partially_filled']",
            max_iterations=1000,
            parallel_branches=["monitor_execution"],
            parameters={
                "monitoring_interval": 5,  # seconds
                "alert_conditions": [
                    "execution_delay",
                    "price_deviation",
                    "partial_fill_timeout",
                    "market_impact_excessive"
                ]
            }
        )
        workflow.add_node(execution_monitoring)
        
        # 监控执行
        monitor_execution = WorkflowNode(
            node_id="monitor_execution",
            name="监控执行",
            node_type=NodeType.TASK,
            description="监控单次执行状态",
            executor="execution_monitor",
            parameters={
                "metrics_tracking": [
                    "fill_rate",
                    "average_price",
                    "market_impact",
                    "timing_cost",
                    "opportunity_cost"
                ]
            }
        )
        workflow.add_node(monitor_execution)
        
        # 执行调整
        execution_adjustment = WorkflowNode(
            node_id="execution_adjustment",
            name="执行调整",
            node_type=NodeType.TASK,
            description="根据市场变化调整执行策略",
            executor="execution_adjuster",
            parameters={
                "adjustment_triggers": [
                    "market_volatility_change",
                    "liquidity_change",
                    "price_movement",
                    "volume_spike"
                ],
                "adjustment_actions": [
                    "change_algorithm_parameters",
                    "switch_execution_venue",
                    "modify_order_size",
                    "pause_execution"
                ]
            }
        )
        workflow.add_node(execution_adjustment)
        
        # 执行完成检查
        completion_check = WorkflowNode(
            node_id="completion_check",
            name="执行完成检查",
            node_type=NodeType.DECISION,
            description="检查订单是否完全执行",
            conditions=[
                {
                    "name": "fully_executed",
                    "expression": "order_status == 'filled'"
                },
                {
                    "name": "partially_executed",
                    "expression": "order_status == 'partially_filled' and time_elapsed > max_execution_time"
                },
                {
                    "name": "execution_failed",
                    "expression": "order_status in ['cancelled', 'rejected', 'expired']"
                }
            ]
        )
        workflow.add_node(completion_check)
        
        # 执行报告
        execution_reporting = WorkflowNode(
            node_id="execution_reporting",
            name="执行报告",
            node_type=NodeType.TASK,
            description="生成交易执行报告",
            executor="execution_reporter",
            parameters={
                "report_components": [
                    "execution_summary",
                    "cost_analysis",
                    "performance_metrics",
                    "market_impact_analysis",
                    "compliance_report"
                ],
                "distribution_list": ["portfolio_manager", "risk_manager", "compliance"],
                "storage_location": "execution_reports"
            }
        )
        workflow.add_node(execution_reporting)
        
        # 后续处理
        post_execution = WorkflowNode(
            node_id="post_execution",
            name="后续处理",
            node_type=NodeType.TASK,
            description="执行后的清算和记录工作",
            executor="post_executor",
            parameters={
                "post_execution_tasks": [
                    "trade_settlement",
                    "position_update",
                    "pnl_calculation",
                    "risk_metrics_update",
                    "audit_trail_creation"
                ]
            }
        )
        workflow.add_node(post_execution)
        
        # 错误处理
        error_handling = WorkflowNode(
            node_id="error_handling",
            name="错误处理",
            node_type=NodeType.TASK,
            description="处理执行过程中的错误",
            executor="error_handler",
            parameters={
                "error_types": [
                    "validation_error",
                    "risk_limit_breach",
                    "execution_failure",
                    "system_error"
                ],
                "error_actions": [
                    "retry_execution",
                    "escalate_to_trader",
                    "cancel_order",
                    "notify_management"
                ]
            }
        )
        workflow.add_node(error_handling)
        
        # 结束节点
        end_node = WorkflowNode(
            node_id="end",
            name="结束",
            node_type=NodeType.END,
            description="订单执行流程结束"
        )
        workflow.add_node(end_node)
        workflow.end_node_ids = ["end"]
        
        # 添加边
        edges = [
            # 主流程
            WorkflowEdge("edge_1", "start", "order_validation", EdgeType.SEQUENCE),
            WorkflowEdge("edge_2", "order_validation", "risk_check", EdgeType.SEQUENCE),
            WorkflowEdge("edge_3", "risk_check", "risk_decision", EdgeType.SEQUENCE),
            
            # 风险决策分支
            WorkflowEdge("edge_4", "risk_decision", "order_routing", EdgeType.CONDITION,
                        condition="risk_decision_result['risk_acceptable']"),
            WorkflowEdge("edge_5", "risk_decision", "error_handling", EdgeType.CONDITION,
                        condition="risk_decision_result['risk_rejected']"),
            
            # 执行路径
            WorkflowEdge("edge_6", "order_routing", "strategy_selection", EdgeType.SEQUENCE),
            
            # 策略分支
            WorkflowEdge("edge_7", "strategy_selection", "immediate_execution", EdgeType.CONDITION,
                        condition="strategy_selection_result['immediate_execution']"),
            WorkflowEdge("edge_8", "strategy_selection", "algorithmic_execution", EdgeType.CONDITION,
                        condition="strategy_selection_result['algorithmic_execution']"),
            WorkflowEdge("edge_9", "strategy_selection", "manual_execution", EdgeType.CONDITION,
                        condition="strategy_selection_result['manual_execution']"),
            
            # 执行监控
            WorkflowEdge("edge_10", "immediate_execution", "execution_monitoring", EdgeType.SEQUENCE),
            WorkflowEdge("edge_11", "algorithmic_execution", "execution_monitoring", EdgeType.SEQUENCE),
            WorkflowEdge("edge_12", "manual_execution", "execution_monitoring", EdgeType.SEQUENCE),
            
            # 监控循环
            WorkflowEdge("edge_13", "execution_monitoring", "completion_check", EdgeType.SEQUENCE),
            
            # 完成检查分支
            WorkflowEdge("edge_14", "completion_check", "execution_reporting", EdgeType.CONDITION,
                        condition="completion_check_result['fully_executed'] or completion_check_result['partially_executed']"),
            WorkflowEdge("edge_15", "completion_check", "error_handling", EdgeType.CONDITION,
                        condition="completion_check_result['execution_failed']"),
            
            # 后续处理
            WorkflowEdge("edge_16", "execution_reporting", "post_execution", EdgeType.SEQUENCE),
            WorkflowEdge("edge_17", "post_execution", "end", EdgeType.SEQUENCE),
            
            # 错误处理
            WorkflowEdge("edge_18", "error_handling", "end", EdgeType.SEQUENCE),
        ]
        
        for edge in edges:
            workflow.add_edge(edge)
        
        # 设置输入输出模式
        workflow.input_schema = {
            "type": "object",
            "properties": {
                "order_id": {"type": "string"},
                "symbol": {"type": "string"},
                "side": {"type": "string", "enum": ["buy", "sell"]},
                "quantity": {"type": "number"},
                "order_type": {"type": "string", "enum": ["market", "limit", "stop"]},
                "price": {"type": "number"},
                "time_in_force": {"type": "string", "enum": ["day", "gtc", "ioc", "fok"]},
                "execution_strategy": {"type": "string"},
                "urgency": {"type": "string", "enum": ["low", "medium", "high"]},
                "account_id": {"type": "string"}
            },
            "required": ["symbol", "side", "quantity", "order_type"]
        }
        
        workflow.output_schema = {
            "type": "object",
            "properties": {
                "execution_id": {"type": "string"},
                "order_status": {"type": "string"},
                "filled_quantity": {"type": "number"},
                "average_price": {"type": "number"},
                "total_cost": {"type": "number"},
                "execution_time": {"type": "string"},
                "market_impact": {"type": "number"},
                "execution_report": {"type": "object"}
            }
        }
        
        return workflow
    
    @staticmethod
    def create_portfolio_rebalancing_flow() -> WorkflowDefinition:
        """
        创建投资组合再平衡流程
        
        Returns:
            投资组合再平衡工作流定义
        """
        workflow = WorkflowDefinition(
            workflow_id="portfolio_rebalancing",
            name="投资组合再平衡流程",
            workflow_type=WorkflowType.TRADING_EXECUTION,
            description="投资组合的定期或触发式再平衡流程",
            timeout=timedelta(hours=2)
        )
        
        # 开始节点
        start_node = WorkflowNode(
            node_id="start",
            name="开始",
            node_type=NodeType.START
        )
        workflow.add_node(start_node)
        workflow.start_node_id = "start"
        
        # 组合分析
        portfolio_analysis = WorkflowNode(
            node_id="portfolio_analysis",
            name="投资组合分析",
            node_type=NodeType.TASK,
            description="分析当前投资组合状态",
            executor="portfolio_analyzer",
            parameters={
                "analysis_components": [
                    "current_weights",
                    "target_weights",
                    "deviation_analysis",
                    "performance_attribution",
                    "risk_metrics"
                ]
            }
        )
        workflow.add_node(portfolio_analysis)
        
        # 再平衡需求评估
        rebalancing_assessment = WorkflowNode(
            node_id="rebalancing_assessment",
            name="再平衡需求评估",
            node_type=NodeType.DECISION,
            description="评估是否需要进行再平衡",
            conditions=[
                {
                    "name": "rebalancing_needed",
                    "expression": "max_weight_deviation > rebalancing_threshold"
                },
                {
                    "name": "no_rebalancing_needed",
                    "expression": "max_weight_deviation <= rebalancing_threshold"
                }
            ]
        )
        workflow.add_node(rebalancing_assessment)
        
        # 交易计划生成
        trade_plan_generation = WorkflowNode(
            node_id="trade_plan_generation",
            name="交易计划生成",
            node_type=NodeType.TASK,
            description="生成再平衡交易计划",
            executor="trade_planner",
            parameters={
                "optimization_objective": "minimize_transaction_costs",
                "constraints": [
                    "minimum_trade_size",
                    "liquidity_constraints",
                    "market_impact_limits"
                ]
            }
        )
        workflow.add_node(trade_plan_generation)
        
        # 批量订单执行
        batch_execution = WorkflowNode(
            node_id="batch_execution",
            name="批量订单执行",
            node_type=NodeType.TASK,
            description="执行再平衡交易订单",
            executor="batch_executor",
            parameters={
                "execution_sequence": "optimized",
                "timing_strategy": "spread_over_time",
                "monitoring_frequency": "real_time"
            }
        )
        workflow.add_node(batch_execution)
        
        # 结果验证
        result_verification = WorkflowNode(
            node_id="result_verification",
            name="结果验证",
            node_type=NodeType.TASK,
            description="验证再平衡结果",
            executor="result_verifier",
            parameters={
                "verification_checks": [
                    "weight_accuracy",
                    "cost_analysis",
                    "risk_impact_assessment"
                ]
            }
        )
        workflow.add_node(result_verification)
        
        # 结束节点
        end_node = WorkflowNode(
            node_id="end",
            name="结束",
            node_type=NodeType.END
        )
        workflow.add_node(end_node)
        workflow.end_node_ids = ["end"]
        
        # 添加边
        edges = [
            WorkflowEdge("edge_1", "start", "portfolio_analysis", EdgeType.SEQUENCE),
            WorkflowEdge("edge_2", "portfolio_analysis", "rebalancing_assessment", EdgeType.SEQUENCE),
            WorkflowEdge("edge_3", "rebalancing_assessment", "trade_plan_generation", EdgeType.CONDITION,
                        condition="rebalancing_assessment_result['rebalancing_needed']"),
            WorkflowEdge("edge_4", "rebalancing_assessment", "end", EdgeType.CONDITION,
                        condition="rebalancing_assessment_result['no_rebalancing_needed']"),
            WorkflowEdge("edge_5", "trade_plan_generation", "batch_execution", EdgeType.SEQUENCE),
            WorkflowEdge("edge_6", "batch_execution", "result_verification", EdgeType.SEQUENCE),
            WorkflowEdge("edge_7", "result_verification", "end", EdgeType.SEQUENCE),
        ]
        
        for edge in edges:
            workflow.add_edge(edge)
        
        return workflow
    
    @staticmethod
    def create_risk_hedging_flow() -> WorkflowDefinition:
        """
        创建风险对冲流程
        
        Returns:
            风险对冲工作流定义
        """
        workflow = WorkflowDefinition(
            workflow_id="risk_hedging",
            name="风险对冲流程",
            workflow_type=WorkflowType.TRADING_EXECUTION,
            description="动态风险对冲和保护策略执行",
            timeout=timedelta(minutes=30)
        )
        
        # 开始节点
        start_node = WorkflowNode(
            node_id="start",
            name="开始",
            node_type=NodeType.START
        )
        workflow.add_node(start_node)
        workflow.start_node_id = "start"
        
        # 风险暴露分析
        risk_exposure_analysis = WorkflowNode(
            node_id="risk_exposure_analysis",
            name="风险暴露分析",
            node_type=NodeType.TASK,
            description="分析当前风险暴露",
            executor="risk_exposure_analyzer",
            parameters={
                "risk_factors": [
                    "market_risk",
                    "sector_risk",
                    "currency_risk",
                    "interest_rate_risk"
                ]
            }
        )
        workflow.add_node(risk_exposure_analysis)
        
        # 对冲策略选择
        hedging_strategy = WorkflowNode(
            node_id="hedging_strategy",
            name="对冲策略选择",
            node_type=NodeType.TASK,
            description="选择合适的对冲策略",
            executor="hedging_strategist",
            parameters={
                "hedging_instruments": [
                    "index_futures",
                    "options",
                    "currency_forwards",
                    "interest_rate_swaps"
                ]
            }
        )
        workflow.add_node(hedging_strategy)
        
        # 对冲执行
        hedging_execution = WorkflowNode(
            node_id="hedging_execution",
            name="对冲执行",
            node_type=NodeType.TASK,
            description="执行对冲交易",
            executor="hedging_executor",
            parameters={
                "execution_priority": "high",
                "slippage_tolerance": 0.002
            }
        )
        workflow.add_node(hedging_execution)
        
        # 结束节点
        end_node = WorkflowNode(
            node_id="end",
            name="结束",
            node_type=NodeType.END
        )
        workflow.add_node(end_node)
        workflow.end_node_ids = ["end"]
        
        # 添加边
        edges = [
            WorkflowEdge("edge_1", "start", "risk_exposure_analysis", EdgeType.SEQUENCE),
            WorkflowEdge("edge_2", "risk_exposure_analysis", "hedging_strategy", EdgeType.SEQUENCE),
            WorkflowEdge("edge_3", "hedging_strategy", "hedging_execution", EdgeType.SEQUENCE),
            WorkflowEdge("edge_4", "hedging_execution", "end", EdgeType.SEQUENCE),
        ]
        
        for edge in edges:
            workflow.add_edge(edge)
        
        return workflow